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IJAR
2008
99views more  IJAR 2008»
13 years 7 months ago
Unifying practical uncertainty representations. II: Clouds
There exist many tools for capturing imprecision in probabilistic representations. Among them are random sets, possibility distributions, probability intervals, and the more recen...
Sébastien Destercke, Didier Dubois, Eric Ch...
ISPD
1999
ACM
112views Hardware» more  ISPD 1999»
14 years 5 days ago
Arbitrary convex and concave rectilinear block packing using sequence-pair
The sequence-pair was proposed in 1994 as a representation of the packing of rectangles of general structure. Since then, there have been e orts to expand its applicability over s...
Kunihiro Fujiyoshi, Hiroshi Murata
ACIVS
2005
Springer
14 years 1 months ago
Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
Luis Mancera, Javier Portilla
IWCIA
2009
Springer
14 years 13 days ago
What Does Digital Straightness Tell about Digital Convexity?
Abstract. The paper studies local convexity properties of parts of digital boundaries. An online and linear-time algorithm is introduced for the decomposition of a digital boundary...
Tristan Roussillon, Laure Tougne, Isabelle Sivigno...
ICML
2009
IEEE
14 years 8 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye